Triple
T3648970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Francis Daley |
E77371
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bones |
E328563
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bones | Statement: [John Francis Daley, notableWork, Bones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bones Context triple: [John Francis Daley, notableWork, Bones]
-
A.
Bones
Bones is the nickname of Bones McKinney, a notable American basketball player and coach from the mid-20th century.
-
B.
Bones
chosen
Bones is a 2001 supernatural horror film starring Snoop Dogg as a murdered man who returns from the dead to exact revenge.
-
C.
Bones
"Bones" is the official theme song used for WWE's WrestleMania 29 event.
-
D.
CSI: Crime Scene Investigation
CSI: Crime Scene Investigation is a popular American procedural drama series that follows forensic investigators as they use scientific techniques to solve crimes.
-
E.
Rizzoli & Isles
Rizzoli & Isles is an American crime drama television series that follows a Boston homicide detective and a medical examiner as they solve complex murder cases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3c85348190b1d16179294f7f09 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.